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A Bayesian Framework for 3D Models Retrieval ...
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Document type :
Communication dans un congrès avec actes
Title :
A Bayesian Framework for 3D Models Retrieval Based on Characteristic Views
Author(s) :
Filali Ansary, Tarik [Auteur]
FOX MIIRE [LIFL]
Vandeborre, Jean-Philippe [Auteur correspondant] refId
FOX MIIRE [LIFL]
Mahmoudi, Saïd [Auteur]
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Conference title :
2nd IEEE International Symposium on 3D Data Processing , Visualization and Transmission (3DPVT'04)
City :
Thessaloniki
Country :
Grèce
Start date of the conference :
2004-09-06
Book title :
2nd IEEE International Symposium on 3D Data Processing , Visualization and Transmission (3DPVT'04)
Publication date :
2004-09-06
English keyword(s) :
3D-model
retrieval
indexing
characteristic views
bayesian probabilities
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
The management of big databases of three-dimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easily retrieve models is a key issue for the ...
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The management of big databases of three-dimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easily retrieve models is a key issue for the designers and the final users. In this frame, two main approaches exist: search by example of a three-dimensional model, and search by a 2D view. In this paper, we present a novel framework for the characterization of a 3D model by a set of views (called characteristic views), and an indexing process of these models with a Bayesian probabilistic approach us- ing the characteristic views. The framework is independent from the descriptor used for the indexing. We illustrate our results using different descriptors on a collection of three- dimensional models supplied by Renault Group.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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